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design of Low Power & High-Speed Multiway Merge Sorting Networks for Median Filter 9

Design of Low Power & High-Speed Multiway Merge Sorting Netw...

引用

9th international conference on Biosignals, Images, and Instrumentation, ICBSII 2023

作者： Mariselvam, V. Vishal, S.R. Surya, T. Vishnuram, S. Electronics and Communication Engineering M.Kumarasamy College of Engineering Karur India

ISBN: (纸本)9798350338171

Sifting is an important activity in a wide range of applications, including image, video, and sensor fusion, ATM and network shifting, statistical modeling, forecasting, intelligent systems and robotics, and data gathering and databases. The proposed work's main objective is to develop a new data comparison technique that offers a limited technique for ordering or ranking networks based on speed, energy, and region. In this research, we offer a new area-efficient and comparative estimator for median filter application. This proposed system was written in Verilog HDL, simulated with Modelsim 6.4 c, then synthesized with the Xilinx tool. The suggested system is built on an FPGA Spartan 3 XC3S 200 TQ-144. The design of a low-power, high-speed multiway merge sorting network for median filter applications is presented in this study. To achieve a balance between power efficiency and sorting performance, the suggested network employs a hybrid sorting strategy that incorporates the benefits of both parallel and serial sorting algorithms. The network is built utilizing a hybrid of digital and analogue circuit approaches, resulting in substantial power savings while retaining good sorting performance. The suggested median filter is assessed using simulation and experimental data, which show that it is more successful than existing techniques at lowering power consumption and improving sorting speed. © 2023 IEEE.

关键词： Median filters

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design and Error Analysis of Position Sensitive Detector Measurement system 8

Design and Error Analysis of Position Sensitive Detector Mea...

引用

8th international conference on intelligent Computing and Signal Processing, ICSP 2023

作者： Shi, Jin Yu, Baocheng Xu, Wenxia School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350302455

In order to achieve non-contact high-precision measurement of object position, a micro displacement measurement system based on PSD was designed. AD7606 is selected for signal acquisition and analog-to-digital conversion, and STM32F405 is used as a microcontroller to calculate position coordinates and transmit them to the host computer for display, achieving real-time measurement of spot microdisplacement. The stability and accuracy of the measurement results are improved through interference analysis and using the unscented Kalman filter algorithm. The experimental results show that the system can measure the position coordinates of light points in real time, and the resolution of the PSD measurement system is 1 μ m, and the stability error of the measured light point coordinates is within 7 μ m, with high accuracy and stability, which can be applied to the field of micro displacement measurement. © 2023 IEEE.

关键词： Analog to digital conversion

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Research on Energy Management system in Electric Vehicles Based on Model Predictive Control Strategy 2

Research on Energy Management System in Electric Vehicles Ba...

引用

2nd international conference on Cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Su, Rui Zhang, Ning Yang, LingXiao School of Electrical Engineering and Automation AnHui University HeFei230601 China School of Artificial Intelligence AnHui University HeFei230601 China

ISBN: (纸本)9798350373318

With the development and progress of science and technology, microgrids have attracted extensive attention from industry players because of their broad development prospects, and also the energy management system in microgrids has been rapidly developed. Due to the intermittent and fluctuating characteristics of distributed power in microgrids, it will lead to the instability of system power supply and distribution. In order to better solve this problem, a model predictive control (MPC) strategy based on parameter sharing mechanism is proposed. The traditional MPC produces large errors when dealing with sudden disturbances, which affects the stability and robustness of the whole system;and the traditional MPC is difficult to obtain real-time control results because of the long optimisation intervals, so it is difficult to design the feedback link, which results in the predicted values being far away from the actual values. To address the shortcomings of the traditional MPC, the preferred depth deterministic gradient algorithm with parameter sharing is proposed to be applied to the improved model predictive control strategy, which improves the accuracy of the calculation results and accelerates the calculation efficiency. Finally, MATLAB is applied for simulation to prove the accuracy of the proposed strategy. © 2024 IEEE.

关键词： Microgrids

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Research on the Construction Method and application of Personalized Learner Portraits Based on Machine Learning 13

Research on the Construction Method and Application of Perso...

引用

13th international conference of Information and Communication Technology, ICTech 2024

作者： Yang, Yun Zhang, Lulu Li, Siyang Changchun Institute of Education Changchun China Mei He Kou Shi No.5 Middle School Meihekou China

ISBN: (纸本)9798350376258

With the rapid development of educational technology, personalized learning has become a key way to improve educational effectiveness. This study uses machine learning technology to construct learner portraits and applies it to the optimization of personalized recommendation systems and teaching strategies. Through detailed experimental design and rigorous data analysis, the research shows that personalized learner portraits can effectively improve the accuracy of recommendation systems and the level of personalization of teaching content. The study adopted a variety of data preprocessing and feature engineering techniques to ensure data quality and feature effectiveness. In addition, by comparing the performance of different machine learning algorithms, this study determined the optimal model, implemented it in actual teaching scenarios, and evaluated the effect of the system through online experiments and user surveys. The results show that personalized recommendations significantly improve learner engagement and learning effectiveness. Although the research has achieved certain results, there are still problems such as the scope of data collection and sample size limitations. Future research can expand the data set, adopt advanced algorithms, and deeply explore the broad application of learner profiling in teaching practice. ©2024 IEEE.

关键词： Adversarial machine learning

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Proceedings - 2023 international conference on Data Science and Informatics, ICDSI 2023

Proceedings - 2023 International Conference on Data Science ...

引用

2023 international conference on Data Science and Informatics, ICDSI 2023

ISBN: (纸本)9798350341560

The proceedings contain 56 papers. The topics discuss include: design and implementation of scalable smart contracts for Ethereum - an example of digital certificates;intelligent planning algorithm design of urban drainage pipe network based on GIS;research on the application of block cipher algorithm in the design of terminal identity authentication system;simulation optimization of data mining model based on fuzzy improved clustering algorithm;data extraction and analysis in network security anti-attack detection based on artificial neural network algorithm;progress of spatial geographic phenomenon visualization methods based on multi-source data;research on the application of big data technology in the simulation design of mathematical models for agricultural economic analysis;and privacy protection and query of industrial park energy usage data based on searchable encryption and secure multiparty computation.

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A New Optimal design of a Solar Power Plant On The Rooftop of Bovisa Train Station in Milan 32

A New Optimal Design of a Solar Power Plant On The Rooftop o...

引用

32nd international conference on Electrical engineering (ICEE)

作者： Nasirkhani, Omid Tamaddon, Mohsen Politecn Milan Energy Dept Milan Italy Tech & Vocat Univ TVU Dept Elect Engn Tehran Iran

ISBN: (纸本)9798350376357;9798350376340

The escalating levels of greenhouse gas (GHG) emission is one of the principal global concerns. Given that a substantial portion of carbon dioxide (CO2) emissions can be attributed to transportation systems, there has been a gradual surge in the adoption of electric railway systems (ERS) over the past decade. However, ERS stands as one of the prominent consumers of electrical energy globally, prompting researchers and governments to increasingly focus on integrating renewable energy sources into the ERS sector. Among the innovative, sustainable, and eco-friendly solutions for satisfying both mentioned problems, the installation of solar photovoltaic systems on train station rooftops has gained significant traction. This paper presents an implementation of a photovoltaic power generation system on the roof of Milan's Bovisa Train Station in Italy. The study utilizes PVsol software to carry out the assessment and establishes a case study to investigate the practical application of solar energy systems for powering the entire array of electrical systems within the Bovisa train station, which includes lighting, escalators, elevators, air conditioning, heating, passenger information services, and commercial facilities. In this study, integrating a PV power plant on the train station rooftop generates 634.9 kW of sustainable power, reducing 287,018 kg of carbon emissions annually. This not only meets station demand but also demonstrates the system's capacity to inject surplus energy into the grid, significantly reducing GHG emissions. These results underscore the efficiency and environmental impact of this work.

关键词： Electric railway systems Energy management system Photovoltaic panels Renewable Energies Solar energy

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Optimization Algorithm and application Research of intelligent Ship Energy Management system

Optimization Algorithm and Application Research of Intellige...

引用

Electronics, Energy systems and Power engineering (EESPE), IEEE international conference on

作者： Xiandong Zhao Shanshan Qi Yonggang Zong Ocean Department Binzhou Polytechnic Binzhou China Marxism Department Binzhou Polytechnic Binzhou China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

Based on the Markov decision algorithm, this paper proposes an efficient optimization scheme for intelligent ship energy management system. The system realizes the rational use of energy and the improvement of ship operation efficiency through real-time monitoring and dynamic allocation of various types of ship energy. This paper first constructs a mathematical model of intelligent ship energy management, and uses the Markov decision algorithm for optimization design to ensure the adaptability and efficiency of the system under different operating conditions. Secondly, this paper simulates the model to verify the robustness and efficiency of the proposed algorithm under complex sea conditions. The simulation results show that the optimized system has significant performance in reducing energy consumption, saving about 12.5% of energy consumption compared with traditional methods, and improving the ship operation efficiency by 9.3%. Through the precise analysis of simulation data, the application value of the algorithm in intelligent ship energy management is proved. The research results of this paper provide new technical support for energy saving of intelligent ships, and provide a theoretical basis and application reference for the optimization design of future intelligent ship systems.

关键词： Energy consumption Uncertainty Heuristic algorithms Simulation Mathematical models Resource management Marine vehicles Energy management systems Optimization Testing

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SS08: Research on the Construction of Ship Product Standard Knowledge Graph and application 15

SS08: Research on the Construction of Ship Product Standard ...

引用

15th IEEE international conference on Knowledge Graph, ICKG 2024

作者： Yin, Tao Chen, Jiabin Zhao, Xin Wang, Jingyao Gao, Chao Yang, Yuting China Institute of Marine Technology & Economy Ship Standardization Research Center Beijing China China Ship Scientific Research Center Taihu Laboratory of Deepsea Technological Science Wuxi China

ISBN: (纸本)9798331508821

In order to help the digital and intellectual transformation of the shipbuilding industry, and considering that ships and upstream and downstream industries are characterized by multi-species, small batch, discrete, etc., as well as the role of standards as a guide for industrial development, a set of structured, friendly and easy-to-operate standard system for the shipbuilding industry is urgently needed. Knowledge map is a semantic network used to describe the relationship between internships, through the graphical display of things or concepts in the real world and their interrelationships, the formation of intuitive, clear, reasoning and calculating the network knowledge structure, for the display of standard knowledge, the construction of the standard system provides a new set of methods. This paper proposes an innovative method to construct a knowledge map of ship product standards, adopting the bottom-up strategy and constructing it step by step according to the standardized structure of ship product standards, which not only ensures that the logical relationship between standards is accurately mapped, but also significantly improves the intelligent level of knowledge management and application. Through this method, the standard knowledge can be organized and managed more systematically, and the accessibility and operability of the standards can be improved, thus providing strong support for the digital and intellectual transformation of the shipping industry. And the standard of "Marine External Fire Centrifugal Pump"is used as an example for application verification, which proves the effectiveness of the standard text modeling method based on knowledge graph. This knowledge graph-based modeling method can not only improve the readability and ease of use of the standard, but also lay a solid foundation for the intelligent application of the standard. © 2024 IEEE.

关键词： Centrifugal pumps

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NON-SMOOTH REDUCED INTERFACE MODELS AND THEIR USE IN CO-SIMULATION OF MECHANICAL systemS

NON-SMOOTH REDUCED INTERFACE MODELS AND THEIR USE IN CO-SIMU...

引用

ASME international design engineering Technical conferences / 43rd Annual Computers and Information in engineering conference (IDETC-CIE) / 19th international conference on Multibody systems, Nonlinear Dynamics, and Control (MSNDC)

作者： Raoofian, Ali Dai, Xu Kovecses, Jozsef McGill Univ Dept Mech Engn Montreal PQ Canada McGill Univ Ctr Intelligent Machines Montreal PQ Canada

ISBN: (纸本)9780791887387

In a co-simulation setup, the entire system is decomposed into a collection of individual subsystems that are interfaced together, with each subsystem being modelled and integrated separately according to its own requirements. To maintain the inter-connectivity and consolidation of the primary system, these subsystems must communicate with each other through the interface and transfer certain information at the end points of a defined time interval termed macro time step. Inside the macro time step, the evolution of the interface variables has to be approximated as information about them will only be available again at the end of the step. In real-time simulations, the size of the macro time step and the accuracy of the approximated interface variables are critical factors;if the interface variables are approximated accurately, the size of the macro time step can be kept large enough to provide interactive rates without loss of accuracy and stability. This work focuses on systems where unilateral contact interactions are important and proposes reduced interface model concepts for such non-smooth systems. The use of the proposed reduced interface model (RIM) is demonstrated in co-simulation to provide model-based approximation of the interface variables. The advantages of the proposed method are demonstrated through two representative case studies.

关键词： Reduced order models Non-smooth dynamic systems Co-simulation Contact modelling

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Research on application of Big Data Based on Ancient Tree Monitoring 13

Research on Application of Big Data Based on Ancient Tree Mo...

引用

13th international conference of Information and Communication Technology, ICTech 2024

作者： Sun, Mengmeng Shi, Wanyan Rui, Hongxi Huang, Kai Beijing University of Agriculture Beijing China

ISBN: (纸本)9798350376258

For a long time, tree information management has always been at the level of extensive management. Landscaping information mostly uses traditional paper data management, which is mutually related to forest greening information, which brings great inconvenience to each other. Based on the application of big data in the background of ancient tree monitoring, this paper develops an ancient tree monitoring system based on big data, which constitutes a whole, real-time, dynamic and shared operation system of ancient tree monitoring, analysis and application. This system can manage the massive data accumulated by the ancient tree monitoring station for a long time and carry out various clustering analysis on the data. The system needs to be able to receive data information sent by data acquisition points and persist these data. Users can access the system through the browser or mobile terminal and view relevant data information. Through image analysis and big data clustering analysis technology, ancient tree species are classified and identified by multi-source remote sensing, and through spatial image imaging technology, the intelligent analysis ability of multi-source remote sensing images of ancient tree species is improved, and the ability of remote sensing information monitoring and identification of ancient tree species is improved. ©2024 IEEE.

关键词： ancient tree big data monitoring

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